Dr. Arindam Das (PhD in Computer Science, York University, Toronto, Canada)

Welcome to my webpage!

I am interested in the effects of learning.

Currently, I am investigating on how human learning impacts the performance of distributed systems that involve human interaction through graphical user interfaces.

Earlier, based on the ACT-R theory of human cognition, I had developed a computational model that provides insight into how much practice is needed by a human to progress from novice to expert level in learning a user interface layout. I had also developed a closed-form model that provides insight into how mentally effortful is it to learn a user interface layout relative to other user interface layouts. This closed-form model is an analytical approximation that is based on the declarative memory equations of ACT-R.

I obtained my PhD in Computer Science at York University, Toronto, Canada in October 2014. My doctoral research involved creation of cognitive models in the domain of Human-Computer Interaction. My doctoral dissertation advisor was Wolfgang Stuerzlinger. My external examiner was Frank E. Ritter. The title of my thesis was ACT-R Based Models For Learning Interactive Layouts. My PhD dissertation can be found here. I obtained my MSc in Computer Science at University of Windsor, Windsor, Canada in 1993. My MSc thesis advisor was Subir Bandyopadhyay. I obtained my bachelor degree, BTech (Honours) at Indian Institute of Technology, Kharagpur, India in 1991. After completing my MSc, I worked in the software industry for a while before starting my doctoral studies.

My Google Scholar Citations are here.

Selected Publications

Effect of Human Learning on Computer System Performance
Das, A., & Das, O. (2017). Novice to Expert continuum may affect System Response Time. 39th Annual Conference of the Cognitive Science Society (CogSci 2017), Poster Paper, July 2017, London, UK, 1878-1883.

Das, A., & Das, O. (2017).  Effect Of Human Learning On Performance Of Cloud Applications. 10th IEEE International Conference on Cloud Computing (CLOUD 2017), 778-781, June 2017, Hawaii, USA.

Cognitive Effort
Das, A., & Stuerzlinger, W. (2013). Unified Modeling of Proactive Interference and Memorization Effort: A new mathematical perspective within ACT-R theory, 35th Annual Conference of the Cognitive Science Society (CogSci 2013), 358-363, July-Aug 2013, Berlin, Germany.

Das, A., & Stuerzlinger, W. (2012). Comparing cognitive effort in spatial learning of text entry keyboards and ShapeWriters, International Working Conference on Advanced Visual Interfaces (AVI  2012), Poster paper, 649-652. May 2012, Capri Island, Italy.

Location Learning
Das, A., & Stuerzlinger, W. (2010). Proactive Interference in Location Learning: A New Closed-Form Approximation, International Conference on Cognitive Modeling (ICCM 2010), 37-42, Aug 2010, Philadelphia, USA.

Das, A., & Stuerzlinger, W. (2008). Modeling Learning Effects in Mobile Texting, International Conference on Mobile and Ubiquitous Multimedia  (MUM 2008), 154-161, Dec 2008, Umea, Sweden.

Das, A., & Stuerzlinger, W. (2007). A Cognitive Simulation Model for Novice Text Entry on Cell Phone Keypads, European Conference on Cognitive Ergonomics (ECCE 2007), 141-147, Aug 2007, London, UK.

My PhD Thesis: thesis(pdf)

My PhD Convocation Webcast: My PhD convocation was held in Ceremony #1 on Wednesday, October 15, 2014. I can be seen receiving my degree certificate in a webcast by York University, Toronto, Canada. I receive my degree certificate from the Chancellor of the University approximately between 47th and 48th minute of the webcast. To see the webcast, you may click here.